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* Support clingo when used with cffi
Clingo recently merged in a new Python module option based on cffi.
Compatibility with this module requires a few changes to spack - it does not automatically convert strings/ints/etc to Symbol and clingo.Symbol.string throws on failure.
manually convert str/int to clingo.Symbol types
catch stringify exceptions
add job for clingo-cffi to Spack CI
switch to potassco-vendored wheel for clingo-cffi CI
on_unsat argument when cffi
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* Spec.splice feature
Construct a new spec with a dependency swapped out. Currently can only swap dependencies of the same name, and can only apply to concrete specs.
This feature is not yet attached to any install functionality, but will eventually allow us to "rewire" a package to depend on a different set of dependencies.
Docstring is reformatted for git below
Splices dependency "other" into this ("target") Spec, and return the result as a concrete Spec.
If transitive, then other and its dependencies will be extrapolated to a list of Specs and spliced in accordingly.
For example, let there exist a dependency graph as follows:
T
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Z<-H
In this example, Spec T depends on H and Z, and H also depends on Z.
Suppose, however, that we wish to use a differently-built H, known as H'. This function will splice in the new H' in one of two ways:
1. transitively, where H' depends on the Z' it was built with, and the new T* also directly depends on this new Z', or
2. intransitively, where the new T* and H' both depend on the original Z.
Since the Spec returned by this splicing function is no longer deployed the same way it was built, any such changes are tracked by setting the build_spec to point to the corresponding dependency from the original Spec.
Co-authored-by: Nathan Hanford <hanford1@llnl.gov>
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If you install packages using spack install in an environment with
complex spec constraints, and the install fails, you may want to
test out the build using spack build-env; one issue (particularly
if you use concretize: together) is that it may be hard to pass
the appropriate spec that matches what the environment is
attempting to install.
This updates the build-env command to default to pulling a matching
spec from the environment rather than concretizing what the user
provides on the command line independently.
This makes a similar change to spack cd.
If the user-provided spec matches multiple specs in the environment,
then these commands will now report an error and display all
matching specs (to help the user specify).
Co-authored-by: Gregory Becker <becker33@llnl.gov>
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* Made DiHydrogen a required dependencies on newer versions of LBANN.
Added an explicit variant for enabling Boost-dependent callbacks.
Updated the separation for embedded Python and the Python front end
code and associated dependencies.
* Bugfix on ROCm include in DiHydrogen
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Drops:
* C_INCLUDE_PATH
* CPLUS_INCLUDE_PATH
* LIBRARY_PATH
* INCLUDE
We already decided to use C_INCLUDE_PATH, CPLUS_INCLUDE_PATH, INCLUDE over CPATH here:
https://github.com/spack/spack/pull/14749
However, none of these flags apply to Fortran on Linux. So for consistency it seems better to make the user use -I and -L flags by hand or through pkgconfig.
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unifyfs dependency margo is now mochi-margo following deprecation commit c55406a
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Change happened in 671f0ff32b3ee2fdf7cae71864073e974b804c23
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BlasPP by ECP SLATE will fail to install by default
(`spack install blaspp`) because:
- the default BLAS installation in Spack is OpenBLAS
- BlasPP conflicts with `threads=none` for all recent OpenBLAS releases
OpenBLAS introduced a threadsafe compile option
with 0.3.7+ aka `USE_LOCKING`:
```
61 # If you want to build a single-threaded OpenBLAS, but expect to call this
62 # from several concurrent threads in some other program, comment this in for
63 # thread safety. (This is done automatically for USE_THREAD=1 , and should not
64 # be necessary when USE_OPENMP=1)
65 # USE_LOCKING = 1
```
According to tests, with `spack install --test root blaspp`,
this exactly addresses the issues in BlasPP tests.
It also seems to be a good option to set by default for OpenBLAS and
users that do not need this safety net can always disable it.
Solve issues with newer OpenBLAS by requiring
`+locking` over none-default threading options.
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* Improve error message for inconsistencies in package.py
Sometimes directives refer to variants that do not exist.
Make it such that:
1. The name of the variant
2. The name of the package which is supposed to have
such variant
3. The name of the package making this assumption
are all printed in the error message for easier debugging.
* Add unit tests
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* Also removed LBANN CUDA CMake flags that are set by the
version of Hydrogen that is compiled against.
* Updated recipes to use HWLOC 2.3 with ROCm to enable
topology awareness.
Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
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* new Python FFC package to support FEniCS 2018 onwards
* added py-dijitso dependency
* added fenics python ffc package
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* py-torch: ensure libtorch_global_deps is linked with the c++ library
* add comment with upstream issue
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* New package: py-dask-xgboost
* py-dask-xgboost: Fixed what was pointed out
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* py-dask-ml: add new package.
* Modified to PythonPackage.
* Remove test-related dependencies.
* Changed to execute docs build after install.
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altered (#21812)
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qrupdate did hard set FC=gfortran
Parallel compilation is now allowed calling $(MAKE) instead of
make for subprocess see:
https://stackoverflow.com/questions/24818095/warning-forced-in-submake-in-parallel-execution-of-make
The build phase is split since the process always requires a target.
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There are cases where parallel build fails.
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* genesis: New package.
* fujitsu-ssl2: fix unit test error
* genesis: Fix for comments and add test method
* genesis: Fix for comments
* genesis: Fix for comments
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